Current statistical model based on maximum entropy fuzzy clustering

In the view of the unfitness to the actual maneuver of targets that a fixed maneuvering frequency used in the current statistical model. Firstly, predicted measurements of special maneuvering frequency are clustered with the aid of maximum entropy fuzzy clustering. Then, the estimated means and covariance of the state are mixed by utilizing the fuzzy membership degree of the predicted measurements. Unscented kalman filter is employed to solving the nonlinearity of the measurement equations. Simulation results show that the proposed method has higher accuracy than some existing methods based on the current statistical model in the estimation.